Andrew Feldman
Co-founder and CEO of Cerebras Systems, an AI computing company building wafer-scale processors and systems for AI training and inference. Feldman previously co-founded SeaMicro, which AMD acquired in 2012.
Cerebras Says Data-Center Capacity Is Its Main AI Growth Constraint
Cerebras chief executive Andrew Feldman told Bloomberg that investors are misreading the company’s post-earnings margin pressure, arguing it reflects a deliberate move to rent back sold equipment to meet demand rather than a weakening business. His broader case is that Cerebras is ahead of plan, avoids several AI chip supply bottlenecks through its architecture, and now faces a different constraint: the speed at which usable data-center capacity can be built.
Tech Founders Argue IPOs Can Create More Upside After Listing
At an All-In Liquidity IPO panel, Altimeter’s Brad Gerstner, Cerebras chief executive Andrew Feldman and Planet Labs chief executive Will Marshall made the case that public markets are again becoming a place where venture-backed technology companies can compound, not merely exit. Gerstner argued that investors often give up large gains by forcing distributions after an IPO, while Feldman said more money is historically made after companies go public than before. Marshall and Feldman also described the IPO less as an operating transformation than as a change in capital, credibility and scrutiny, with execution still determining whether the listing creates lasting value.
AI Demand Is Real, but Productivity Gains Remain Unproven
Bloomberg’s Tech event in San Francisco framed the AI boom as a market caught between constrained infrastructure demand and valuations that leave little tolerance for misses. Executives from Databricks, Okta and Altimeter argued that the next bottlenecks are enterprise context, secure system access, power and capital allocation, while San Francisco Fed President Mary Daly said AI investment is widespread but has not yet produced broad, measurable productivity gains.
Cerebras’ Wafer-Scale AI Bet Fuels a $63 Billion IPO
Cerebras founder and CEO Andrew Feldman argues that the company’s roughly $63 billion public-market debut is the result of a decade-long wager on wafer-scale computing: a dinner-plate-sized chip architecture built for AI rather than a modified GPU. In a discussion with Elad Gil and Sarah Guo, Feldman says Cerebras survived years when the technology worked before the market cared, and that demand arrived only once AI became daily work and fast inference became commercially decisive.
Cerebras IPO Puts a Public Price on Fast AI Inference
TBPN’s John Coogan and Jordi Hays use Cerebras’s first day as a public company to frame a narrower AI hardware argument: the market is beginning to price low-latency inference as a product in its own right. Cerebras founder Andrew Feldman argues that fast inference will eventually consume demand for slow AI responses, while SemiAnalysis’s Doug O’Laughlin cautions that the company’s wafer-scale SRAM architecture may be limited by memory scaling and model size. The result is a public-market test of whether owning a valuable slice of the AI compute stack is enough.
Cerebras Raises $5.55 Billion as AI Infrastructure Demand Lifts Tech Markets
Cerebras raised $5.55bn in the year’s largest US IPO while Cisco shares jumped on a higher hyperscaler-orders forecast, putting both a new AI compute listing and an incumbent networking supplier in the market’s AI infrastructure trade. Cerebras CEO Andrew Feldman argued that the company’s wafer-scale systems, OpenAI deal and AWS engagement show it can become a major compute supplier; Bloomberg reporters pressed the harder question of how much of today’s AI infrastructure demand will turn into broad, durable revenue.
Cerebras Raises $5.55 Billion in Year’s Biggest IPO
Cerebras chief executive Andrew Feldman used the AI chipmaker’s $5.55 billion IPO to argue that public investors are valuing the company as a fast-inference infrastructure supplier, not merely another semiconductor listing. In a Bloomberg Technology interview before trading began, Feldman said demand is concentrated around speed, claimed Cerebras is about 15 times faster than its nearest competitor, and pointed to large relationships with OpenAI and AWS as evidence of commercial traction, while acknowledging that the AWS agreement is still being finalized.